This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Semi-nonparametric count data estimation with an endogenous binary variable

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Hiroaki Masuhara () (Section of Health Economics, Department of Gerontological Policy, National Center for Geriatrics and Gerontology (NCGG))
Abstract

This paper proposes a semi-nonparametric Poisson model with an endogenous binary variable, which generalizes bivariate correlated unobserved heterogeneity using Hermite polynomials, and compares this model with a parametric one. The National Health Interview Survey (NHIS) data from 1990 shows the difference between the endogenous binary variable's coefficients of the semi-nonparametric and parametric models.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.accessecon.com/pubs/EB/2008/Volume3/EB-08C30069A.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Article provided by AccessEcon in its journal Economics Bulletin.

Volume (Year): 3 (2008)
Issue (Month): 42 ()
Pages: 1-13
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:ebl:ecbull:v:3:y:2008:i:42:p:1-13

Contact details of provider:

For technical questions regarding this item, or to correct its listing, contact: (John P. Conley).

Related research
Keywords: Endogenous switching;

Statistics
Access and download statistics

Did you know? All RePEc services are meant to be be free forever, as they are all run by volunteers.

This page was last updated on 2010-1-6.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.